Kuntal Pal
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- Neuroscience and Neuropharmacology Research 3
- Neuropeptides and Animal Physiology 2
- Behavioral Neuroscience top 10%
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- Receptor Mechanisms and Signaling 6
- Protein Kinase Regulation and GTPase Signaling 4
- vaccines and immunoinformatics approaches 3
- Biochemical and Molecular Research 2
- Biotechnology top 10%
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- Viral Infections and Outbreaks Research 2
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- Hepatitis B Virus Studies 2
- Co-authors
- H. Eric XuKarsten MelcherKunchithapadam SwaminathanAugen A. PioszakYanting YinXiang GaoXiaoxi WangYi Jiang
- Journals
- Journal of Biological Chemistry (3 papers)SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)
- Partner nations
- IndiaUnited StatesChina
In The Last Decade
Kuntal Pal
19 papers receiving 550 citations
Peers
Comparison fields: 5 of 75
- Cellular and Molecular Neuroscience 227
- Behavioral Neuroscience 38
- Molecular Biology 432
- Biotechnology 51
- Endocrinology, Diabetes and Metabolism 89
Countries citing papers authored by Kuntal Pal
This map shows the geographic impact of Kuntal Pal's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kuntal Pal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuntal Pal more than expected).
Fields of papers citing papers by Kuntal Pal
This network shows the impact of papers produced by Kuntal Pal. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kuntal Pal. The network helps show where Kuntal Pal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kuntal Pal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 3 | |
| 8 | 2021 | 3 | |
| 9 | 2021 | 2 | |
| 10 | 2019 | 148 | |
| 11 | 2019 | 6 | |
| 12 | 2017 | 18 | |
| 13 | 2017 | 38 | |
| 14 | 2016 | 51 | |
| 15 | 2015 | 25 | |
| 16 | 2012 | 94 | |
| 17 | 2012 | 9 | |
| 18 | 2012 | 6 | |
| 19 | 2010 | 63 | |
| 20 | 2010 | 63 |
About Kuntal Pal
Kuntal Pal is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology, having authored 20 papers that have together received 553 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Neuroscience and Neuropharmacology Research (3 papers), vaccines and immunoinformatics approaches (3 papers), Viral Infections and Outbreaks Research (2 papers), Biochemical and Molecular Research (2 papers), Hepatitis B Virus Studies (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (227 citations), Behavioral Neuroscience (38 citations) and Molecular Biology (432 citations). Kuntal Pal has collaborated with scholars based in India, United States and China. Frequent co-authors include H. Eric Xu, Karsten Melcher, Kunchithapadam Swaminathan, Augen A. Pioszak, Yanting Yin, Xiang Gao, Xiaoxi Wang, Yi Jiang, Yuanzheng He and Pushpa Agrawal. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.